Neurophysiological Parameters Influencing Sleep–Wake Discrepancy in Insomnia Disorder: A Preliminary Analysis on Alpha Rhythm during Sleep Onset

Author:

Berra Francesca12ORCID,Fasiello Elisabetta12,Zucconi Marco2,Casoni Francesca2ORCID,De Gennaro Luigi34ORCID,Ferini-Strambi Luigi12,Galbiati Andrea12ORCID

Affiliation:

1. Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy

2. IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy

3. Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy

4. Body and Action Lab, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy

Abstract

Sleep state misperception (SSM) is a common issue in insomnia disorder (ID), causing a discrepancy between objective and subjective sleep/wake time estimation and increased daytime impairments. In this context, the hyperarousal theory assumes that sustained central nervous system activation contributes to the SSM. This study investigates factors influencing SSM during sleep latency (SL) and total sleep time (TST). Objective polysomnographic sleep variables (the alpha density index, latency-to-sleep stages and the first K-complex, and Rapid Eye Movement (REM) arousal density) and subjective sleep indices, taken from sleep diaries, were analyzed in 16 ID patients. Correlation analyses revealed a positive association between the degree of SL misperception (SLm) and the percentage of epochs that contained a visually scored stereotyped alpha rhythm during objective SL. A regression analysis showed that the REM arousal density and alpha density index significantly predicted TST misperception (TSTm). Furthermore, the degree of SLm was associated with an increased probability of transitioning from stage 1 of non-REM sleep to wakefulness during subjective SL. These findings support the role of hyperarousal in SSM and highlight the importance of alpha activity in unravelling the heterogeneous underpinnings of SSM.

Publisher

MDPI AG

Subject

General Neuroscience

Reference63 articles.

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